| Entries |
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| 20080205762 | Optical Imaging Pen Having An Orthogonal Accelerometer - The invention provides for an optical imaging pen configured to capture and decode infrared (IR) position tags from a page. The pen includes a force sensor photodiode configured to sense when a nib of the pen is in contact with the page, and an LED configured to project IR radiation onto a portion of the page when the nib is in contact therewith. The pen also includes an image sensor configured to image the portion of the page when the nib is in contact therewith by receiving reflected IR radiation, and at least one orthogonal accelerometer configured to sense motion of the pen by sensing acceleration in x and y directions and integrating with respect to time to produce an instantaneous velocity. The pen further includes a controller arranged in signal communication with the accelerometer, photodiode and image sensor, said controller configured to control the photodiode and image sensor to capture, decode and encrypt the tags into digital ink data, and to include the instantaneous velocity of the pen into the digital ink data. | 08-28-2008 |
| 20080219557 | Process Performance Evaluation for Enterprise Data Systems - A method using integrated software and algorithms for measuring, modeling, benchmarking and validating any Enterprise Content management system, forms processing data capture system or data entry system, including, at the user's option, ingest of special engineered test materials such as a Digital Test Deck®, applying data quality scoring algorithms, use of cost models, validation of downstream business processes, and implementing statistical process control. | 09-11-2008 |
| 20080232690 | Method and apparatus for creating and editing node-link diagrams in pen computing systems - A method and system provides intelligent node-link diagram creation and editing, including an electronic display device having a surface on which a writing and/or drawing canvas is provided. An input device permits writing and/or drawing of electronic ink strokes, and a computing device is in operative association with the electronic display and the input device, and has stored therein for operation in connection with actions of the input device, a user interface (UI). The UI includes a graphical user interface (GUI) module, which controls input and display of the ink strokes applied to the canvas by the input device, and a recognition module which interprets the ink strokes by performance of structure recognition operations. | 09-25-2008 |
| 20080260251 | Recognition of mathematical expressions - In embodiments consistent with the subject matter of this disclosure, a user may input strokes as digital ink to a processing device. The processing device may partition the input strokes into multiple regions of strokes. A first recognizer and a second recognizer may score grammar objects included in regions and represented by chart entries. The scores may be converted to a converted score, which may have at least a near standard normal distribution. The processing device may present a recognition result based on highest converted scores according to a recurrence formula. The processing device may receive a correction hint with respect to misrecognized strokes and may add a penalty score with respect to chart entries representing grammar objects breaking the correction hint. Incremental recognition may be performed when a pause is detected during inputting of strokes. | 10-23-2008 |
| 20080279455 | MACHINE CHARACTER RECOGNITION VERIFICATION - Data on a document is recognized using at least two machine recognition processes. Data from one machine recognition process is used as reference data; data formed using the other recognition process is used as verification data. If the verification data matches the reference data, machine recognition may be verified. If the verification data does not exactly match the reference data, an assessment is made of the likelihood that the verification data is sufficiently close to the reference data to suggest an error in the verification data. This may be done by applying a fitness function to the verification data, to assess the likelihood that the verification data represents a mis-recognized version of the reference data. In one embodiment, the verification data is OCR data, and the reference data is MICR data. | 11-13-2008 |
| 20080292190 | Classifying digital ink into a writing or a drawing - A method for classifying digital ink receives digital ink comprising ink strokes. A plurality of the ink strokes can be classified. A temporal line grouping is performed on a plurality of the classified ink strokes that are grouped to form a temporal line group. The temporal line group is segmented into a cluster. The cluster can be classified. | 11-27-2008 |
| 20080292191 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - A disclosed information processing apparatus includes an image data obtaining unit configured to obtain image data generated by scanning a confirmation/correction form on a recording medium; a workflow definition obtaining unit configured to obtain a workflow definition of a workflow that includes a workflow step corresponding to the recording medium; a form definition obtaining unit configured to obtain a form definition of the confirmation/correction form corresponding to the workflow step based on the workflow definition; a field image extracting unit configured to extract a field image of a field of the confirmation/correction form from the image data based on the form definition; and a handwriting image extracting unit configured to remove a previous handwriting image and extract a current handwriting image from the field image if the field image contains both the previous handwriting image and the current handwriting image. | 11-27-2008 |
| 20090003705 | Feature Design for HMM Based Eastern Asian Character Recognition - An exemplary method for online character recognition of East Asian characters includes acquiring time sequential, online ink data for a handwritten East Asian character, conditioning the ink data to produce conditioned ink data where the conditioned ink data includes information as to writing sequence of the handwritten East Asian character and extracting features from the conditioned ink data where the features include a tangent feature, a curvature feature, a local length feature, a connection point feature and an imaginary stroke feature. Such a method may determine neighborhoods for ink data and extract features for each neighborhood. An exemplary Hidden Markov Model based character recognition system may use various exemplary methods for training and character recognition. | 01-01-2009 |
| 20090003706 | Combining online and offline recognizers in a handwriting recognition system - Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score. | 01-01-2009 |
| 20090022399 | PROCESSING SYSTEM FOR IDENTIFYING A STRING FORMED FROM A NUMBER OF HAND-WRITTEN CHARACTERS - The present invention is a processing system for identifying a string formed from a number of hand-written characters. The system includes a processor and memory, an input device and an output device, a bus connecting the processor, memory, input and output devices, as well as an external interface for connecting the bus to an external database. The processor is configured to perform the steps of determining character probabilities for each character in the string, each character probability representing the likelihood of the respective character being a respective one of a number of predetermined characters; and determining template probabilities for the string, each template probability representing the likelihood of the string corresponding to a respective one of a number of templates, each template representing a respective combination of character types. | 01-22-2009 |
| 20090041354 | Hidden Markov Model Based Handwriting/Calligraphy Generation - An exemplary method for handwritten character generation includes receiving one or more characters and, for the one or more received characters, generating handwritten characters using Hidden Markov Models trained for generating handwritten characters. In such a method the trained Hidden Markov Models can be adapted using a technique such as a maximum a posterior technique, a maximum likelihood linear regression technique or an Eigen-space technique. | 02-12-2009 |
| 20090052777 | USING HANDWRITING RECOGNITION IN COMPUTER ALGEBRA - Systems and methods for use in handwriting recognition in computer algebra are provided. One disclosed method includes receiving handwriting input from a user via a handwriting input device, the handwriting input representing a mathematical expression. The method further includes, at a recognizer, processing the handwriting input to recognize a plurality of candidates and ranking the plurality of candidates to form initial candidate data. The method may further include, at an application program, scanning the plurality of candidates for segments that match application-level criteria, and adjusting a rank of one or more of the plurality of candidates based on the matching, to form a processed candidate list. The method may further include displaying the processed candidate list via a graphical user interface. | 02-26-2009 |
| 20090097753 | SYSTEM FOR A TEXT SPELLER - An apparatus may generate a text entry with a user interface. The apparatus may include a display, a user input device, a memory and a processor. The apparatus may display single character user input controls and multi-character user input controls on the display. Each of the single character user input controls and the multi-character user input controls may be buttons selectable with the user input device. A single character user input control may correspond to a single character and a multi-character user input control may correspond to a group of characters. The apparatus may display one of the multi-character user input controls in a display region and other user input controls outside of the display region. If the multi-character user input control is selected, the apparatus may replace the multi-character user input control with a second set of single character user input controls in an expanded display region. | 04-16-2009 |
| 20090110284 | System and Method for Sorting Objects Using OCR and Speech Recognition Techniques - To perform character recognition on an object for automatic processing of the object in a processing system, where the object contains at least one character string of processing information, a character string spoken by an operator is processed by a speech recognition procedure to generate a candidate list containing at least one candidate corresponding to the operator-spoken character string. The candidate list and a digital image of an area containing the processing information are made available for an optical character recognition procedure. The OCR procedure is performed on the digital image in coordination with the candidate list to determine if a character string recognized by the OCR procedure performed on the digital image corresponds to a candidate in the candidate list. Any such corresponding candidate is outputted as the character string on the object. | 04-30-2009 |
| 20090116744 | INPUT-HANDWRITING AUTOMATIC TRANSFORMATION SYSTEM AND METHOD - An input-handwriting automatic transformation system capable of automatically transforming handwriting input to a font most similar to the input handwriting, the system including a recognizing unit recognizing handwriting input via an input pad; an extracting unit extracting a font most similar to the input handwriting from fonts stored in a memory; and a transforming unit comparing the font extracted by the extracting unit and the input handwriting and automatically transforming the extracted font to be most similar to the input handwriting. | 05-07-2009 |
| 20090136136 | METHOD FOR HANDWRITTEN CHARACTER RECOGNITION, SYSTEM FOR HANDWRITTEN CHARACTER RECOGNITION, PROGRAM FOR HANDWRITTEN CHARACTER RECOGNITION AND STORING MEDIUM - In a case in which handwritten character recognition such as online handwritten character recognition is implemented, simple and high performance character recognition by which transformation such as remarkable transformation and rotation is able to be treated and which recognizes an input that is written in a single stroke such as kaisho-writing, is provided. Because of this, the present invention performs: capturing an input handwritten character with parameter representation for each stroke and applying a polygonal approximation to each stroke; assuming each polygonal line segment approximated by the polygonal approximation to be vector that reaches an end point from a start point, and obtaining an angle between an axis that becomes a reference and each line segment as a polygonal line segment angle sequence; obtaining an exterior angle sequence of vertices of the obtained polygonal line segments; making a sum of exterior angles of the same sign, where the same sign of plus or minus in the exterior angle sequence continues, to be a winding angle sequence; extracting a global feature according to each obtained sequence and a localized or quasi-localized feature in each curved portion divided corresponding to the winding angle sequence, hierarchically and divisionally; and performing the character recognition by comparing the extracted result with a template of an object character for recognition that is provided in advance. | 05-28-2009 |
| 20090161959 | HANDWRITING TEMPLATES - Apparatuses, methods, and computer-storage media provide character string templates to facilitate receiving non-prose handwriting input from a user and converting that input to text to create character strings capable of being provided to application and/or displayed to the user. Templates may be provided manually or automatically, and may or may not be associated with an application text box. A template generally contains pre-populated segments and open segments for receiving handwriting. | 06-25-2009 |
| 20090208107 | CHARACTER RECOGNITION APPARATUS AND CHARACTER RECOGNITION METHOD - A character recognition apparatus includes a division mechanism for dividing a diagram into a plurality of parts, a candidate character string acquisition mechanism for combining the plurality of parts of the diagram, and a character string selection mechanism for selecting one character string. The candidate character string acquisition mechanism includes at least one of first mechanism for duplicating a character line that touches adjacent characters and then including a duplicated character line as an element of a candidate character string, and second mechanism for including a candidate character string in which the touching character line between the adjacent characters has been removed, and a candidate character string in which the touching character line is contained, in the plurality of candidate character strings. | 08-20-2009 |
| 20090214117 | HANDWRITING SYMBOL RECOGNITION ACCURACY USING SPEECH INPUT - Described is a bimodal data input technology by which handwriting recognition results are combined with speech recognition results to improve overall recognition accuracy. Handwriting data and speech data corresponding to mathematical symbols are received and processed (including being recognized) into respective graphs. A fusion mechanism uses the speech graph to enhance the handwriting graph, e.g., to better distinguish between similar handwritten symbols that are often misrecognized. The graphs include nodes representing symbols, and arcs between the nodes representing probability scores. When arcs in the first and second graphs are determined to match one another, such as aligned in time and associated with corresponding symbols, the probability score in the second graph for that arc is used to adjust the matching probability score in the first graph. Normalization and smoothing may be performed to correspond the graphs to one another and to control the influence of one graph on the other. | 08-27-2009 |
| 20090232398 | PAPER INTERFACE TO AN ELECTRONIC RECORD SYSTEM - After markings have been placed on a pre-printed form by a user who interacted with an entity, the form is scanned to produce a scan file. The scan file is analyzed to identify whether user added markings are present on machine readable selection items. The method can take a number of automated actions, depending upon which pre-printed machine readable selection items were checked by the user. For example, in response to checkbox selections, the method can obtain (read) some form of electronically storable data relating to the entity based on which of the machine readable selection items the user checked. Alternatively, in response to other checkbox selections, the method can ignore the user added markings on the machine readable selection items. In addition, in response to the checkmarks, the system can maintain only an image of the user added handwritten text. Alternatively, the system can be instructed to not only maintain an image of the user added handwritten text, but to automatically forward the image of the user added handwritten text to a transcription center. | 09-17-2009 |
| 20090285485 | Systems, Methods, And Computer-Readable Media for Fast Neighborhood Determinations In Dynamic Environments - Methods, systems, and computer-readable media for ascertaining neighborhood information in a dynamically changing environment, such as an electronic ink environment may include: (a) receiving data representing plural electronic ink strokes; (b) defining a first vertex associated with a first ink stroke; and (c) determining neighboring vertices to the first vertex, wherein the neighboring vertices are associated with ink stroke(s) other than the first ink stroke. Additional systems, methods, and computer-readable media may include: (a) receiving data representing plural electronic ink strokes; (b) defining plural vertices associated with the ink strokes; (c) receiving input indicating a selection of an ink component; and (d) determining at least one neighboring component by determining which ink component(s) located outside of the selection include one or more ink strokes having vertices that neighbor vertices included in the selection. | 11-19-2009 |
| 20090297028 | METHOD AND DEVICE FOR HANDWRITING DETECTION - The invention relates to a method for handwriting detection using a handwriting tool ( | 12-03-2009 |
| 20090304281 | Text Entry for Electronic Devices - A method of inputting a series of characters into an electronic device | 12-10-2009 |
| 20090304282 | RECOGNITION OF TABULAR STRUCTURES - A number of regions and partitions may be created based on input handwritten atoms and a grammar parsing framework. Productions for tabular structures may be added to the grammar parsing framework to produce an extended grammar parsing framework. Each of the regions may be searched for a tabular structure. Upon finding a tabular structure, a type of tabular structure may be determined. Configuration partitions may be created, based on the added productions, and added to the created partitions. A set of configuration regions may be created based on the configuration partitions and added to the created regions. The productions for tabular structures and productions of the grammar parsing framework may be applied, as rewriting rules, to the atoms to produce possible recognition results. A best recognition result may be determined and displayed. A mechanism for correcting misrecognition errors, which may occur while recognizing tabular structures, may be provided. | 12-10-2009 |
| 20100002936 | SPATIAL CHARACTER RECOGNITION TECHNIQUE AND CHIROGRAPHIC TEXT CHARACTER READER - Disclosed herein is a configuration of a writing volume of a spatial chirographic reader facilitating an on-line method of recognition of handwriting characters. The writing volume may be partitioned by an ink depth into a positioning stereographic hemisphere and an inking stereographic hemisphere. Two projection spheres may be made to intersect on a projection typeface plane forming a disc encapsulating the writing volume. A center of the disc may be a universal reference point for converting handwriting movements of a stylus to inferred rotations. Characters may be mapped to reference rotations, wherein on-line reader data may be compared to effect identification of the characters. Labeling of cardinal positions and graduation of rotation paths may be configured such that inking strokes of a particular writing system may be observable in a minimal number of integer factors of rotation of π radians. An overriding convention of eliminating representations leading to ambiguity may also provide for apparent redundancy of representation by adjustment of the radius of the inferred sphere of rotation and partitioning of the typeface into segments having independent coordinates distinct from the principal axes. Enumeration of writing strokes may be constrained by recording radial torsion components to an inking axis and twist torsion components to a writing plane. | 01-07-2010 |
| 20100014757 | Method and System for Recognizing Characters and Character Groups in Electronically Represented Text - A system and method for automatically recognizing words or phrases in text. | 01-21-2010 |
| 20100054603 | DEVICE, METHOD AND COMPUTER PROGRAM FOR DETECTING CHARACTERS IN AN IMAGE - A device for detecting characters in an image includes a Hough transformer implemented to identify, as identified elements of writing, circular arcs or elliptical arcs in the image or in a preprocessed version of the image. The device further includes a character description generator implemented to obtain, on the basis of the identified circular arcs or elliptical arcs, a character description which describes locations of the identified circular arcs or elliptical arcs. In addition, the device includes a database comparator implemented to compare the character description with a plurality of comparative character descriptions which have character codes associated with them, so as to provide, as a result of the comparison, a character code of a detected character. | 03-04-2010 |
| 20100074527 | EDITING 2D STRUCTURES USING NATURAL INPUT - A natural input system is described for creating and editing complex structures in a typeset application. The natural input system receives a typeset representation of an object and converts the typeset format to generate a standard digital ink representation. The natural input system provides the generated ink representation to a natural input application where can be manipulated by the user with a rich set of correction and editing features provided by the natural input application. Once the end user is satisfied with the recognition result in the natural input application, the natural input system receives the recognition result based on the modified digital ink representation. The natural input system may convert the received recognition result to the typeset application format and provides the modified typeset representation to the typeset application for merging into the document the user is editing. | 03-25-2010 |
| 20100104189 | Handwriting Identification Method, Program And Electronic Device - A method of identifying at least one handwritten character composed of at least one stroke is disclosed. The method comprises providing a database comprising a plurality of sequences of strokes, the strokes of each sequence defining at least one character, at least some of said sequences comprising a plurality of strokes; capturing a string of handwritten characters, said string comprising the at least one handwritten character; and matching at least a part of the string with a sequence from said plurality of sequences. This method enables the recognition of multi-stroke characters where the positions of the strokes relative to each other are unknown or at least unreliable. A computer program product implementing this method and an electronic device comprising this computer program product are also disclosed. | 04-29-2010 |
| 20100166312 | SYSTEM OF IMPLEMENTING USER HANDWRITING AND METHOD THEREOF - System for implementing user handwriting according to the present invention, comprising : a handwriting input module ( | 07-01-2010 |
| 20100166313 | INFORMATION PROCESSING APPARATUS AND LOCUS DATA RECOGNITION METHOD - An information processing apparatus includes a gesture locus data recognition unit configured to execute processing for recognizing gesture locus data included in locus data according to characteristic data of the locus data and gesture characteristic shape data included in gesture dictionary data and output a result of the processing, a separation unit configured to separate gesture locus data and locus data other than the gesture locus data from the locus data according to the result of the recognition by the gesture locus data recognition unit, and a character locus data recognition unit configured to execute processing for recognizing locus data of a character included in the locus data other than the gesture locus data according to the characteristic data of the locus data other than the gesture locus data which is separated by the separation unit, and the locus characteristic data of a character included in a character dictionary data, and output a result of the processing. | 07-01-2010 |
| 20100232700 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An apparatus includes a reading unit configured to read image data, a recognition unit configured to recognize a region designated by a handwritten portion and processing associated with a color of the handwritten portion in the image data, and a display unit configured to display a preview by superimposing a recognized result and the region to be processed in the image data and displaying a content of the recognized processing on the displayed preview. | 09-16-2010 |
| 20100246965 | TAGGING VIDEO USING CHARACTER RECOGNITION AND PROPAGATION - In one example, video may be analyzed and divided into segments. Character recognition may be performed on the segments to determine what text appears in the segments. The text may be used to assign tags to the video and/or to the segments. Segments that appear visually similar to each other (e.g., segments that appear to be different views of the same person) may be grouped together, and a tag that is assigned to one segment may be propagated to another segment. The tags may be used to perform various types of tasks with respect to the video. One example of such a task is to perform a search on the video. | 09-30-2010 |
| 20100272361 | SYSTEM AND METHODS FOR ARABIC TEXT RECOGNITION BASED ON EFFECTIVE ARABIC TEXT FEATURE EXTRACTION - A method for automatically recognizing Arabic text includes digitizing a line of Arabic characters to form a two-dimensional array of pixels each associated with a pixel value, wherein the pixel value is expressed in a binary number, dividing the line of the Arabic characters into a plurality of line images, defining a plurality of cells in one of the plurality of line images, wherein each of the plurality of cells comprises a group of adjacent pixels, serializing pixel values of pixels in each of the plurality of cells in one of the plurality of line images to form a binary cell number, forming a text feature vector according to binary cell numbers obtained from the plurality of cells in one of the plurality of line images, and feeding the text feature vector into a Hidden Markov Model to recognize the line of Arabic characters. | 10-28-2010 |
| 20100272362 | IMAGE FORMING APPARATUS FOR EXTRACTING HAND-WRITTEN IMAGE - An image forming apparatus that allows easy and reliable extraction of a hand-written image and allowing reliable execution of a desired process on image data based on the hand-written image is provided. For this purpose, during a mark adding process, a scanner unit and an image processing unit form YMCK data based on an original image; a specific area extracting unit extracts image data of a specific area from the YMCK data; a mark image adding unit combines image data of the specific area with the mark image data to form combined data; and a printer unit outputs a first image based on the combined data. During image processing of the specific area, the scanner unit forms RGB data based on the first image; the mark area extracting unit extracts image data of the mark area from the RGB data; the specific area image processing unit performs prescribed image processing on the image data of mark area; and the printer unit outputs a second image based on the YMCK data after the prescribed image processing. | 10-28-2010 |
| 20100278430 | IDENTIFYING A STRING FORMED FROM A NUMBER OF HAND-WRITTEN CHARACTERS - A method of identifying a string formed from a number of hand-written characters is disclosed. The method starts by determining character probabilities for each hand-written character in the string. Each character probability represents the likelihood of the respective hand-written character being a respective one of a number of predetermined characters. Next, template probabilities for the string are determined. Each template probability represents the likelihood of the string corresponding to a respective one of a number of templates. Each template represents a respective combination of character types. The step of determining the template probabilities for the string includes the sub-steps of determining the number of characters in the string, selecting templates having an identical number of characters, and obtaining a template probability for each selected template. | 11-04-2010 |
| 20100310172 | SEGMENTAL RESCORING IN TEXT RECOGNITION - A method for text recognition includes generating a number of text hypotheses for an image, for example, using an HMM based approach using fixed-width analysis features. For each text hypothesis, one or more segmentations are generated and scored at the segmental level, for example, according to character or character group segments of the text hypothesis. In some embodiments, multiple alternative segmentations are considered for each text hypothesis. In some examples, scores determined in generating the text hypothesis and the segmental score are combined to select an overall text recognition of the image. | 12-09-2010 |
| 20100329562 | Statistical Online Character Recognition - A statistical system and method for generating patterns and performing online handwriting recognition based on those patterns. A plurality of predetermined patterns may be generated by performing feature extraction operations on one or more character samples utilizing a Gabor filter. An online handwritten character may be acquired. The online handwritten character may be pre-processed. One or more feature extraction operations, utilizing a Gabor filter, may be performed on the online handwritten character to produce a feature vector. One or more patterns may be generated, using a statistical algorithm, for the online handwritten character, based on the feature vector. The online handwritten character may be statistically classified based on a comparison between the one or more patterns generated for the online handwritten character and the plurality of predetermined patterns. | 12-30-2010 |
| 20110019916 | Interactive document reading - A system for assisting a user in extracting information from a document set including at least one original document 2 having content comprises: a pen | 01-27-2011 |
| 20110026828 | ENHANCED SCREEN CAPTURE FOR FORM MANIPULATION - According to one embodiment of the present invention, a method for processing forms based on an image is presented. A form is captured in an image, and a number of field values within the form in the image are detected. The number of field values is stored in the image metadata | 02-03-2011 |
| 20110038543 | SYSTEM AND METHOD FOR SEARCHING HANDWRITTEN TEXTS - A language-neutral method for searching online handwritten notes is provided. The different algorithms contained in this method enable querying online multilingual handwritten documents with substrings of words rather than just whole words. More particularly, two approaches are presented—one based on partial Fréchet distance calculations and the other based on a pair hidden Markov models. The partial Fréchet distance is adapted from the traditional Fréchet distance concept to match a subcurve or prefix of a query word. The pair hidden Markov model used in the present application is adapted from pair hidden Markov models used in bioinformatics as generative models of local and global alignment of biological sequences. | 02-17-2011 |
| 20110052066 | Handwritten Character Recognition - A method for classifying a handwritten input character is disclosed. Character models are used. Each character model is associated with an output character and defines a model specific segmentation scheme for that output character and an associated segment model. The model specific segmentation scheme defines a minimum length corresponding to a number of points in a stroke of the output character and a minimum length threshold. Using each of the character models, the input character is decomposed into segments and the segments are evaluated against the segment model of the respective character model to produce a score indicative of the conformity of the segments with the segment model. The character model that produced the highest score is selected and the input character is classified as the output character associated with the character model that produces the highest score. | 03-03-2011 |
| 20110091110 | CLASSIFYING A STRING FORMED FROM A KNOWN NUMBER OF HAND-WRITTEN CHARACTERS - A method of classifying a character string formed from a known number of hand-written characters is disclosed. The method starts by determining character probabilities for each hand-written character in the character string. Each character probability represents a likelihood of the respective hand-written character being a respective one of a plurality of predetermined characters. Each predetermined character has a respective character type. Character templates having the known number of characters are next identified. Each character template has a respective predetermined probability and represents a respective combination of character types. Character sequence probabilities corresponding to each of the character templates having the known number of characters are next determined. The character sequence probabilities are a function of the predetermined probability of the respective character template and the character probabilities of the hand-written character in the character string. The character string is classified as the sequence of characters having the highest character sequence probability. | 04-21-2011 |
| 20110194771 | COMBINING ONLINE AND OFFLINE RECOGNIZERS IN A HANDWRITING RECOGNITION SYSTEM - Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score. | 08-11-2011 |
| 20110229039 | INFORMATION RECOGNITION SYSTEM AND METHOD FOR CONTROLLING THE SAME - An information recognition system includes: a display section displaying an image on a display surface at a predetermined display resolution; an image combining section combining a character entry guide with the image, the character entry guide assisting handwritten input to the display surface; an information detecting section detecting handwritten input information at a detection resolution which is higher than the display resolution, the handwritten input information input to the display surface according to the character entry guide; and a character recognizing section performing character recognition based on the information detected at the detection resolution. | 09-22-2011 |
| 20110243448 | HANDWRITTEN DATA MANAGEMENT SYSTEM, HANDWRITTEN DATA MANAGEMENT PROGRAM AND HANDWRITTEN DATA MANAGEMENT METHOD - A handwritten data management system having an input device, and a handwritten data management apparatus having a screen to draw an image, wherein the input device has a sensor section to detect input device conditions, and sends the condition information to the management apparatus, wherein the management apparatus includes: a graphic data extracting section which extracts basic drawing data from trajectories of the input device on the screen; a break discrimination section which discriminates a break portion of the basic drawing data based on the condition information, and determines its break level by referring to a previously stored table; and a group data management section which groups plural basic drawing data, and registers the group data at a higher hierarchy level, and further sequentially groups the plural group data based on the break level, and registers a higher level group data at a higher hierarchy level. | 10-06-2011 |
| 20110249898 | HANDWRITING RECOGNITION DEVICE HAVING AN EXTERNALLY DEFINED INPUT AREA - A handwriting recognition device includes a main body having a side surface and an operation surface perpendicularly connecting to the side surface, and a first lens module and a second lens module arranged at opposite sides of the side surface. A first optical axis of the first lens module extends to perpendicularly cross a second optical axis of the second camera module outside the side surface. An overlapped area of a view angle of the first lens module and a view angle of the second lens module is defined as an input area. The first lens module is configured to capture a first picture of a handwriting tool in the input area. The second lens module is configured to capture a second picture of the handwriting tool in the input area. The handwriting recognition device calculates coordinates of the handwriting tool according to the first and the second pictures. | 10-13-2011 |
| 20110311141 | METHOD AND SYSTEM FOR RECOGNIZING A HANDWRITTEN CHARACTER - The present invention discloses a method for recognizing a handwritten character, which includes the following steps of: obtaining a coarse classification template and a fine classification template; receiving a handwritten character input signal from a user, gathering a discrete coordinate sequence of trajectory points of the inputted character, and pre-processing the discrete coordinate sequence; extracting eigenvalues and calculating a multi-dimensional eigenvector of the inputted character; matching the inputted character with the coarse classification template to select a plurality of the most similar candidate character classes; and matching the eigen-transformed inputted character with sample centers of the candidate character classes selected from the fine classification template, and determining the most similar character classes among the candidate character classes. The present invention further discloses a system for recognizing a handwritten character. The present invention can recognize an inputted character fast at a high recognition precision. | 12-22-2011 |
| 20120014603 | RECOGNITION METHOD AND SYSTEM - Techniques for recognizing discrete multi-component symbolic input from a user can be applied to, for example, handwriting or speech. The techniques can include providing a database of model input sequences, where each model input sequence corresponds to a symbol to be recognized. Input functions, for example, discrete strokes, are obtained from a user and segmented into a sequence of discrete components. Hypothesis symbol sequences are obtained by comparing the discrete components to a database of symbols to be recognized and updating hypothesis symbol sequences based on the results of the comparison and hypothesis symbol sequence history from input previously acquired in time. | 01-19-2012 |
| 20120020566 | CHARACTER RECOGNITION DEVICE AND RECORDING MEDIUM - A character recognition device which recognizes an operation for writing a character performed by a housing including an acceleration sensor | 01-26-2012 |
| 20120114246 | ENHANCED GRAPHOLOGICAL ASSESSMENT OF PERSONALITY USING CATEGORIZATION OF HANDWRITING FEATURES TO INDICATE RELATIVE LEVEL OF INHERENCY AND HABITUALNESS OF PERSONALITY TRAITS THAT ARE ASSOCIATED WITH THE HANDWRITING FEATURES - A method for personality assessment through analysis of handwriting is disclosed that provides a way to take into account the relative influence of personality traits indicated by different handwriting features, depending upon the type of handwriting features, and how strongly those features are expressed. The method improves the assessment of personality through handwriting analysis, by separating handwriting features into categories that highlight which aspects of the subject's personality are inherent and deeply-rooted versus changeable and superficial; as well as which aspects of the subject's personality are habitually expressed, versus non-habitually expressed. Handwriting features are separated into primary variables that represent more inherent aspects of the subject's personality, and secondary variables that represent less inherent aspects of the subject's personality. Handwriting features are also separated into dominant variables that represent habitually expressed aspects of the subject's personality, and non-dominant variables that represent non-habitually expressed aspects of the subject's personality. | 05-10-2012 |
| 20120114247 | Device and Method for Reinterpreting Stored Stenographic Keystrokes - A method for reinterpreting stenographic data includes receiving stenographic data into a memory and analyzing the stored stenographic data at least one of in real time and thereafter to determine if a user desires to adjust at least one of anti-stacking values and at least one registration point of a stenographic key by at least one of adjusting at least one registration point of the stenographic key and examining the change to the stored data in real time on a display, and utilizing the adjustment of the at least one registration point on the stenographic data and adjusting at least one anti-stacking value and examining the change to the stored data in real time on a display, and utilizing the adjustment of the at least one registration point on the stenographic data. | 05-10-2012 |
| 20120128252 | Process for Translating Machine Shorthand Into Text - A method for translating stenographic strokes includes the steps of receiving a series of stenographic strokes, creating a table of translations of one or more strokes within the series of strokes, sequentially assigning a score to each of the one or more strokes, determining at least one alternate translation to at least one of the translations in the table of translations, ranking the translations and alternate translations based on an accumulation of the score of the strokes within, and selecting one of the ranked translations or one of the ranked alternate translations based on a best score. | 05-24-2012 |
| 20120141032 | SKETCH RECOGNITION SYSTEM - Handwriting interpretation tools, such as optical character recognition (OCR), have improved over the years such that OCR is a common tool in business for interpreting typed text and sometimes handwritten text. OCR does not apply well to non-text-only diagrams, such as chemical structure diagrams. A method according to an embodiment of the present invention of interpreting a human-drawn sketch includes determining a local metric indicating whether a candidate symbol belongs to a certain classification based on a set of features. The set of features includes, as a feature, scores generated from feature images of the candidate symbol. Also included is determining a joint metric of multiple candidate symbols based on their respective classifications and interpreting the sketch as a function of the local and joint metrics. Sketches can be chemical composition, biological composition, electrical schematic, mechanical, or any other science- or engineering-based diagrams for which human-drawn symbols have well-known counterparts. | 06-07-2012 |
| 20120183223 | COMBINING ONLINE AND OFFLINE RECOGNIZERS IN A HANDWRITING RECOGNITION SYSTEM - Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score. | 07-19-2012 |
| 20120189205 | HANDWRITING DETERMINATION APPARATUS AND METHOD AND PROGRAM - A handwriting apparatus has unit for acquiring first-handwriting data, storage unit for storing one-stroke-handwriting data and a first command as an instruction. The instruction corresponds to the one-stroke-handwriting data. When the first-handwriting data corresponds to the one stroke, a unit executes the first command when the corresponding first command is searched from the storage unit, a unit stores one-stroke-handwriting data and a second command as an instruction that corresponds to the one-stroke-handwriting data. The second command is different from the first command, and searches the storage unit for the second command corresponding to the one-stroke-handwriting data. There is a unit, when the corresponding second command is searched out from the storage unit, to execute the corresponding second command. | 07-26-2012 |
| 20120251005 | CHARACTER STRING INPUT DEVICE AND RECORDING MEDIUM - According to one embodiment, there is provided a character string input device. The device includes an input processing unit, a character string storage unit, an input prediction control unit, and an input prediction unit. The input processing unit inputs a character string with a character or a special code. The character string storage unit receives the character string with the character or the special code, adds the character to a stored character string, or updates the stored character string by the special code. The input prediction control unit controls a timing of extracting and sending at least part of the stored character string from the character string storage unit. The input prediction unit performs input prediction for the at least part of the stored character string output from the input prediction control unit and outputs a predicted character string. | 10-04-2012 |
| 20120251006 | FEATURE DESIGN FOR CHARACTER RECOGNITION - An exemplary method for online character recognition of characters includes acquiring time sequential, online ink data for a handwritten character, conditioning the ink data to produce conditioned ink data where the conditioned ink data includes information as to writing sequence of the handwritten character and extracting features from the conditioned ink data where the features include a tangent feature, a curvature feature, a local length feature, a connection point feature and an imaginary stroke feature. Such a method may determine neighborhoods for ink data and extract features for each neighborhood. An exemplary character recognition system may use various exemplary methods for training and character recognition. | 10-04-2012 |
| 20130011065 | INPUT-OUTPUT DEVICE AND INFORMATION INPUT-OUTPUT SYSTEM - The technical subject is realizing a highly useful input-output device which can be used alone to independently input and output information, and, when connected with an information processing device, can function as an input device that depends on the applications of the information processing device. The input-output device comprises: a function of recognizing whether a connection with the information processing device through a connection unit is present by the connection recognition unit and transmitting a code value and/or a coordinate value converted by a processing unit to the information processing device through the connection unit; and a function of outputting the content data from the output unit or controlling operation based on the operation instruction when the connection recognition unit does not recognise a connection between the connection unit and the information processing device. The provided functions make the disclosed input-output device highly useful. | 01-10-2013 |
| 20130034303 | METHOD AND APPARATUS FOR ON-TOP WRITING - A handwriting recognition apparatus facilitates user entry of strokes one on top of another. The apparatus, which includes a processor and a display integrated with a touch sensitive screen, receives a series of strokes via the screen. Each stroke is defined by contact, trace, and lift occurrences. Each stroke appears on the display until occurrence of a prescribed event, and then disappears. The apparatus accumulates strokes into a buffer and interprets all accumulated strokes collectively against a character database and optionally a linguistic database, to identify multiple candidate strings that could be represented by the accumulated strokes. The apparatus displays candidate strings for user selection after all strokes have faded, or after receiving a user submitted delimiter, or after a given delay has elapsed following user entry of the latest stroke. Alternatively, candidate strings are displayed after each stroke without waiting for timeout or explicit delimiter. | 02-07-2013 |
| 20130044954 | METHOD AND APPARATUS FOR ACCESSING AN ELECTRONIC RESOURCE BASED UPON A HAND-DRAWN INDICATOR - A method, apparatus and computer program product are provided for permitting access to an electronic resource that is associated with a hand-drawn indicator. In the context of a method, a method is provided that includes receiving an image of a hand-drawn indicator, such as a free-form hand-drawn indicator or a grid having a plurality of selectively fillable grid elements. The method may also identify an electronic resource associated with the hand-drawn indicator and permit access to the electronic resource associated with the hand-drawn indicator. | 02-21-2013 |
| 20130071030 | METHOD FOR GRAPHOLOGY-BASED ASSESSMENT OF PERSONALITY TRAITS OF A SUBJECT USING INFERRED HANDWRITING FEATURES DERIVED FROM THE SUBJECT'S PRESENTATION FEATURES - A method for graphology-based assessment of a subject's personality traits is disclosed which involves graphological analysis of inferred handwriting features that are derived from the subject's presentation features. The method includes: obtaining presentation features of a subject; deriving inferred handwriting features of the subject from the presentation features according to pre-determined rules of correlation between the presentation features and the inferred handwriting features; and then performing graphological analysis on the inferred handwriting features so as to provide an assessment of the subject's personality traits. Presentation features can include a subject's general appearance, attire, body language, facial expression, and/or conversational style, for example. Handwriting features can include zonal sizes, connective forms, the handwriting's pressure, spacing, size, and slant, level of script, primary and secondary variables, and/or overall form level data. | 03-21-2013 |
| 20130077865 | Tactile Input Recognition Using Best Fit Match - An embodiment of the invention provides a method including receiving input from a user, which includes a handwritten symbol. The input is compared to prototype symbols to determine whether the input includes a threshold degree of similarity with a prototype symbol. If the input does not include a threshold degree of similarity with a prototype symbol, the input is stored as a prototype symbol. If the input includes a threshold degree of similarity with a prototype symbol, it is determined whether the input represents a text character. If the input represents a text character, the text character is identified and a prototype text character is identified. The input is mapped to the identified text character and the identified prototype text character. If the input does not represent a text character, the input is mapped to a prototype shape, and the input is mapped to the prototype shape. | 03-28-2013 |
| 20130121582 | HANDWRITTEN CHARACTER RECOGNITION BASED ON FREQUENCY VARIATIONS IN CHARACTERS - A system for recognizing handwriting. A handwritten character is captured as an image of black pixels and white pixels. The image is partitioned into segments, each of which having a pixel ratio of a total number of black pixels in the segment to a total number of black pixels in the image. A reference character has segments corresponding to the image segments. Each reference character segment has a value range of a pixel ratio of a total number of black pixels in the segment of the reference character to a total number of black pixels in the reference character. It is ascertained that the pixel ratio of more than a predetermined number of segments in the image are within the value range of the pixel ratio of the corresponding segments of the reference character, from which, the handwritten character is recognized as the reference character. | 05-16-2013 |
| 20130121583 | HANDWRITTEN CHARACTER RECOGNITION BASED ON FREQUENCY VARIATIONS IN CHARACTERS - A method and computer program product for recognizing handwriting. A handwritten character is captured as an image of black pixels and white pixels. The image is partitioned into segments, each of which having a pixel ratio of a total number of black pixels in the segment to a total number of black pixels in the image. A reference character has segments corresponding to the image segments. Each reference character segment has a value range of a pixel ratio of a total number of black pixels in the segment of the reference character to a total number of black pixels in the reference character. It is ascertained that the pixel ratio of more than a predetermined number of segments in the image are within the value range of the pixel ratio of the corresponding segments of the reference character, from which, the handwritten character is recognized as the reference character. | 05-16-2013 |
| 20130177247 | METHOD AND APPARATUS FOR SEQUENCING OFF-LINE CHARACTER FROM NATURAL SCENE - Disclosed is a method of sequencing character information in order to increase precision of character recognition. The method includes: a pre-processing that extracts character information from an image to binarize the extracted character information through a predetermined threshold and extracts and thins a center line of the binarized character information; normalizing the pre-processed character information to character information according to a predetermined criteria; and sequencing the normalized character information using structural features including an end point or a divergence point of the character information. The present invention suggests an angle normalization method of input character information, a structural feature position determining method, and a structural feature numeral string generating method to strongly recognize characters configured by various fonts obtained from a natural scene regardless of an angle or a size of the characters. | 07-11-2013 |
| 20130251264 | ANALYSIS OF HAND-DRAWN INPUT GROUPS - A method for analyzing groups of hand-drawn inputs receives from a set of computing devices a corresponding set of hand-drawn inputs. A user in a group of users interacts with a device in the set of devices to provide a hand-drawn input in the set of hand-drawn inputs corresponding to the device. The method analyzes a subset of the set of hand-drawn inputs to determine an accuracy of the hand-drawn inputs in the subset. The method generating a result responsive to the analyzing and presents the result. | 09-26-2013 |
| 20130301921 | ELECTRONIC DEVICE AND HANDWRITTEN DOCUMENT SEARCH METHOD - According to one embodiment, a device includes a search module configured to search handwriting information stored in a storage medium for a first handwriting information part whose degree of a similarity with a specific handwriting information part specified as a search key is greater than or equal to a reference value, the handwriting information includes a plurality of stroke data corresponding to a plurality of strokes, and a display processing module configured to display, on a touchscreen display, one or more thumbnail corresponding to handwriting information includes the first handwriting information part and a first user interface for changing the reference value. | 11-14-2013 |
| 20130301922 | DATA PROCESSING SYSTEM, DATA PROCESSING METHOD, AND STORAGE MEDIUM - According to one embodiment, a data processing system includes a touchscreen display, a recorder, and a processor. The recorder is configured to record a plurality of stroke data indicating loci handwritten on the touchscreen display and times respectively. The processor is configured to execute data processing using a first time indicated by first stroke data associated with first data and a second time indicated by second stroke data associated with second data. | 11-14-2013 |
| 20140064620 | INFORMATION PROCESSING SYSTEM, STORAGE MEDIUM AND INFORMATION PROCESSING METHOD IN AN INFOMRATION PROCESSING SYSTEM - According to one embodiment, an information processing system includes a recorder and a first detector. The recorder is configured to record stroke data representing strokes written by hand. An order relationship between the stroke data items is recognizable in the stroke data. The first detector is configured to detect an orientation of a character corresponding to the strokes represented by the stroke data, based on a positional relationship and an order relationship between at least two strokes. | 03-06-2014 |
| 20140086489 | ELECTRONIC APPARATUS AND HANDWRITTEN DOCUMENT PROCESSING METHOD - According to one embodiment, an electronic apparatus includes a display processor, and a correction calculator. The display processor is configured to display strokes corresponding to coordinates of loci of contact points on a display. The correction calculator is configured to calculate a correction direction and a correction quantity to correct a coordinate, by using a position of a first handwritten character recognizable from the strokes and a position of a second handwritten character recognizable from the strokes. | 03-27-2014 |
| 20140105503 | ELECTRONIC APPARATUS AND HANDWRITTEN DOCUMENT PROCESSING METHOD - According to one embodiment, an electronic apparatus includes a storing module and a display controller. The storing module stores a plurality of handwritten document data in a storage medium, each of the handwritten document data including stroke data corresponding to strokes, and region data indicative of a first region set for one or more first strokes of the plurality of strokes, the first strokes corresponding to a symbol. The display controller displays, if the plurality of handwritten document data are searched by a search key and the search key corresponds to the symbol, a list of first regions in the plurality of handwritten document data, the first regions corresponding to the symbol. | 04-17-2014 |
| 20140119658 | Information Management Apparatus and Non-Transitory Computer-Readable Medium - An information management apparatus includes a processor and a memory. The memory is configured to store computer-readable instructions that, when executed, cause the processor to perform processes including acquiring stroke data, the stroke data being data representing a trajectory and being data that includes information indicating positions on the trajectory, identifying, based on first stroke data, a first character string that is a character string formed by a first trajectory, identifying, based on second stroke data, a second character string that is a character string formed by a second trajectory, generating an image file that is a data file representing a third trajectory based on third stroke data, storing the image file in storing portion as a file including at least the first character string in a file name, and storing the image file in the storing portion in association with data representing the second character string. | 05-01-2014 |
| 20140126823 | SYSTEM AND METHOD FOR IDENTIFYING AND ACTING UPON HANDWRITTEN ACTION ITEMS - A method and system for identifying and acting on a handwritten action item is disclosed. The system may learn a set of user-defined symbols and associate each symbol with an action category. Then, when the system that captures a handwritten action item that includes one of the symbols, it will determine which action category that corresponds to the symbol, identify process parameters in the action item, determine a task to be performed based on the action category, and apply the process parameters to automatically perform the task. | 05-08-2014 |
| 20140177961 | HANDWRITTEN-INFORMATION PROCESSING APPARATUS, HANDWRITTEN-INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A handwritten-information processing apparatus includes a handwritten-information acquisition unit and a handwritten-information insertion unit. The handwritten-information acquisition unit acquires a handwritten information item which has been handwritten by a user on a medium having a region inside a writing frame and a region outside the writing frame. The region inside the writing frame includes division regions. The region outside the writing frame is located outside the region inside the writing frame. When the handwritten-information acquisition unit has acquired an insertion mark which is a handwritten information item extending across a boundary between the region inside the writing frame and the region outside the writing frame, the handwritten-information insertion unit inserts, on the basis of the insertion mark, into the region inside the writing frame, a handwritten information item which has been handwritten in the region outside the writing frame. | 06-26-2014 |
| 20140294306 | Apparatus and Non-Transitory Computer-Readable Medium Storing Computer-Readable Instructions - An apparatus includes a processor and a memory. The memory is configured to store computer-readable instructions. The computer-readable instructions cause the processor to perform processes that include acquiring detected stroke data indicating a trajectory of a writing portion, determining with reference to a first storage portion, based on the detected stroke data, whether a reference trajectory is included in one of one or more peripheral areas, and each of the one or more peripheral areas being an area surrounding each of one or more reference positions, and correcting the detected stroke data, based on an amount of displacement between the reference trajectory and a reference position that is inside one of the one or more peripheral areas, in a case where it is determined that the reference trajectory is included in the one of the one or more peripheral areas. | 10-02-2014 |
| 20140307968 | METHOD AND APPARATUS FOR AUTOMATIC GENRE IDENTIFICATION AND CLASSIFICATION - An automated method for classifying a video frame into different genre based on the statistical analysis of different text rich video frames. The method of the present invention applies a statistical method to classify the genre based on the text in the video frame. | 10-16-2014 |
| 20140321750 | DYNAMIC GESTURE RECOGNITION PROCESS AND AUTHORING SYSTEM - Gesture recognition is performed by receiving a video frame from a camera, drawing a scribble pointing out one element within the video frame, tracking the scribble across subsequent frames by propagating the scribble on the remainder of the video, aggregating related scribbles determined by tracking the scribble, attaching a tag to the aggregated related scribbles to form a gesture model, and comparing a current scribble with the stored gesture model. | 10-30-2014 |
| 20140363082 | INTEGRATING STROKE-DISTRIBUTION INFORMATION INTO SPATIAL FEATURE EXTRACTION FOR AUTOMATIC HANDWRITING RECOGNITION - Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition. In some embodiments, temporally-derived features are used to improve recognition accuracy without compromising the stroke-order and stroke-direction independence of the recognition system. | 12-11-2014 |
| 20150016725 | RETRIEVAL METHOD AND ELECTRONIC APPARATUS - According to one embodiment, a retrieval method includes receiving a first stroke corresponding to a retrieval key for retrieving a handwritten stroke stored in a memory of an electronic apparatus; acquiring, if the first stroke comprises a second stroke for filling an area and a third stroke not for filling an area, first information relating to at least one stroke corresponding to the retrieval key by using the third stroke, wherein the second stroke corresponds to one part of the first stroke, and the third stroke corresponds to another part of the first stroke; and storing the first information in the memory. | 01-15-2015 |
| 20150036928 | METHODS AND SYSTEMS FOR INITIATING ACTIONS ACROSS COMMUNICATION NETWORKS USING HAND-WRITTEN COMMANDS - A method and system for providing hand-written command processing includes a network-connected application server receiving from a user device data storing hand-written information. The hand-written information is processed to identify one or more hand-written characters included in the data. A determination is made as to whether the identified characters include a command for initiating an action across the communication network. Upon determining that the characters include a command, the application server automatically performs the action identified by the command across the communication network. The action can include generating and sending a messaging service message or an e-mail, creating a scheduled reminder, creating and storing a checklist or note, or retrieving a previously stored checklist or note, based on information included in the hand-written characters. The user device may be a tablet-type user device. | 02-05-2015 |
| 20150078665 | HANDWRITTEN SIGNATURE DETECTION, VALIDATION, AND CONFIRMATION - Technologies may provide for detecting, validating, or confirming the validity of a handwritten signature. A logic architecture may be employed to detect a digital handwritten signature and validation data associated with a signature event, and to send the signature and the validation data to a trusted server. The logic architecture may validate the digital handwritten signature based on the signature and the validation data. Additionally, the logic architecture may present the digital handwritten signature with a reference to confirm the validity of the signature. The reference may be associated with identifying information corresponding to the event to confirm the validity of the signature. | 03-19-2015 |
| 20150139548 | METHODS AND SYSTEMS FOR RECOGNIZING HANDWRITING IN HANDWRITTEN DOCUMENTS - The disclosed embodiments illustrate a method for comparing handwriting in a first electronic document and a second electronic document. The method includes extracting, by one or more processors, one or more segments from a first electronic document and a second electronic document. Each of the one or more segments includes a handwritten text. Thereafter, one or more sets of segments are created from the one or more segments. An information indicating categorization of each segment in a set of segments in one or more categories is received. The information is provided by one or more workers based on the handwriting in each segment. A similarity score based on a count of segments in each of the one or more categories is determined. The similarity score is deterministic of a degree of similarity between the first electronic document and the second electronic document. | 05-21-2015 |
| 20150347835 | ELECTRONIC DEVICE, HANDWRITTEN DOCUMENT SEARCH METHOD AND STORAGE MEDIUM - According to one embodiment, an electronic device includes a stroke manager and a controller. The stroke manager is configured to store on a storage medium handwritten documents including stroke data items corresponding to strokes. The controller is configured to acquire a result of a search. The search includes least one of a character-string search and a handwriting search. The search is based on a value associated with an aspect ratio of a first stroke group. | 12-03-2015 |
| 20150347839 | IDENTIFICATION VERIFICATION USING A DEVICE WITH EMBEDDED RADIO-FREQUENCY IDENTIFICATION FUNCTIONALITY - A method for identification (ID) verification using a device with embedded radio-frequency identification (RFID) functionality is disclosed. The method comprises capturing, by a camera associated with a client device, an image of an ID document having an embedded RFID chip. The image is transmitted to a server for optical character recognition to extract and recognize printed data associated with the ID document. The client device can receive the printed data from the server and use the printed data to unlock the RFID chip by an RFID reader. Digital data associated with the ID document can be retrieved from the RFID chip and compared to the printed data. If the digital data and the printed data match, the ID document is verified. Otherwise, the ID document is rejected. | 12-03-2015 |
| 20150379336 | HANDWRITING INPUT CONVERSION APPARATUS, COMPUTER-READABLE MEDIUM, AND CONVERSION METHOD - A conversion apparatus is disclosed, including: a storage unit; and a processor configured to perform a conversion process. In the conversion process, a handwriting input for a specific position in a text is received. Conversion candidates for the handwriting input is generated based on context information acquired by analyzing before, after, or around the specific position of the text. | 12-31-2015 |
| 20160012286 | ELECTRONIC APPARATUS, METHOD AND STORAGE MEDIUM | 01-14-2016 |
| 20160063321 | SYSTEM AND METHOD FOR TRANSCRIBING HISTORICAL RECORDS INTO DIGITIZED TEXT - A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors. | 03-03-2016 |
| 20160063342 | ELECTRONIC APPARATUS AND METHOD - According to one embodiment, an electronic apparatus includes a processor and a display controller. The processor inputs handwritten strokes. The display controller displays a first and second character in a font size, the first character corresponding to a first handwritten character detected from the strokes, the second character corresponding to a second handwritten character detected from the strokes, the font size determined based on a combination of an attribute of the first character and a size of at least one stroke of the first handwritten character or a combination of an attribute of the second character and a size of at least one stroke of the second handwritten character. | 03-03-2016 |
| 20160117548 | ELECTRONIC APPARATUS, METHOD AND STORAGE MEDIUM - According to one embodiment, a method includes receiving data associated with a first group of strokes and a second group of strokes of handwriting, associating first content with the first group of strokes, the first content determined based on information associated with the first group of strokes, and associating second content with the second group of strokes, the second content determined based on information associated with the second group of strokes. The first content is displayable or reproducible by a selection of the first group of strokes. The second content is displayable or reproducible by a selection of the second group of strokes. | 04-28-2016 |
| 20160125578 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM - There is provided an image processing apparatus including an input device configured to receive a stroke input, and a display controller configured to control a displaying of a modified stroke, wherein the modified stroke is synthesized based on characteristic parameters of the received stroke input and characteristic parameters of a reference stroke that has been matched to the received stroke input. | 05-05-2016 |
| 20160148046 | ADAPTIVE GUIDELINES FOR HANDWRITING - One embodiment provides a method, involving: receiving, at a device, handwriting input from a user; detecting, using a processor, a location of at least a part of the handwriting input; and providing, on a display device, at least one adaptive line to guide the handwriting input; wherein the at least one adaptive line is positioned based on the location of at least a part of the handwriting input. Other aspects are described and claimed. | 05-26-2016 |
| 20160171297 | METHOD AND DEVICE FOR CHARACTER INPUT | 06-16-2016 |
| 20160188970 | COMPUTER-READABLE RECORDING MEDIUM, METHOD, AND APPARATUS FOR CHARACTER RECOGNITION - A character recognition apparatus includes a storage and a processor that executes a method including generating input stroke data from input coordinate data corresponding to an input operation, generating stroke combination candidates and evaluation data corresponding to the stroke combination candidates from the input stroke data, the stroke candidates including target verification strokes combined to constitute target verification characters, identifying a first stroke combination from the stroke combination candidates based on appearance probability of the target verification strokes, appearance probability data of each stroke stored in the storage, and the evaluation data, and outputting a character corresponding to the input operation based on the first stroke combination. The appearance probability indicates a probability in which the target verification strokes appear in each of the target verification characters. The appearance probability data is generated based on the appearance probability of the target verification strokes. | 06-30-2016 |
